Senior ML Data Pipelines Engineer — Flexible Hours

Waabi; Toronto; On-site; CAD 205,611 - 361,210; Full time

Benefits offered by this job

Competitive compensation and equity awards

Health and Wellness benefits

Unlimited Vacation

Flexible hours and Work from Home support

Daily drinks, snacks, and catered meals

Regular team building activities

Job summary

A leading technology start-up in Toronto is seeking a Senior/Staff Software Engineer to build scalable ML data pipelines for their autonomous driving platform. The candidate will work closely with renowned scientists and engineers, solving complex data challenges. Key qualifications include a degree in computer science, proficiency in Python, and experience with deep learning frameworks. The role offers competitive compensation, equity awards, and a collaborative work environment, with great perks like unlimited vacation and flexible hours.

Qualifications

• BS or MS in Computer Science, Machine Learning, or a related technical field, with 4+ years of industry experience.
• Proficiency in Python and experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• Hands-on experience building distributed ETL and data processing pipelines.
• Direct experience managing ML pipelines, including dataset management, dataloading, and optimization.
• Strong understanding of cloud job orchestration, monitoring, and instrumentation best practices.
• A collaborative approach with a passion for tackling hard problems in autonomous technology.

Responsibilities

• Design and implement data pipelines to train and evaluate deep learning models.
• Optimize data formats and caching to ensure efficient ML training.
• Improve data sampling for model performance tracking.
• Write high-quality, well-structured, and tested code.
• Help drive project roadmap planning and delivery.

Job description

A leading technology start-up in Toronto is seeking a Senior/Staff Software Engineer to build scalable ML data pipelines for their autonomous driving platform. The candidate will work closely with renowned scientists and engineers, solving complex data challenges. Key qualifications include a degree in computer science, proficiency in Python, and experience with deep learning frameworks. The role offers competitive compensation, equity awards, and a collaborative work environment, with great perks like unlimited vacation and flexible hours.